Event-triggered state estimation for cyber-physical systems with partially observed injection attacks

In this study, an event-based estimator with partially observed injection attacks is investigated. Under a specified transmission schedule and partially observed injection attacks, we prove that the conditional distribution of the state is Gaussian with a Bayesian inference approach. Then, an event-triggered minimum mean square error estimation algorithm is acquired. Moreover, we show that the proposed optimal estimator is exponentially stable under certain conditions.